Automatic Computer Vision System For Industrial Product Quality Inspection

Abdul Rahman, Nor Nabilah Syazana (2016) Automatic Computer Vision System For Industrial Product Quality Inspection. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Automatic Computer Vision System For Industrial Product Quality Inspection.pdf - Submitted Version Download (586kB)

Abstract

Product quality inspection is the life business enterprises, only the objective, and strict inspection can promise the best quality of products left the factories. Therefore, the product quality inspection is a key job of business enterprises. Product quality inspection becomes a major issue in production and industrial. The problem is associated with a manual inspection that is done by a human. In facts, human as an inspector is slower and their efficiency is affected by their states of tiredness, illness or other human being shortcomings. This project presents an automatic computer vision system for industrial product quality inspection as a solution from the issue that has been raised. Soft drink is a product that is tested for quality inspection in this system. The offline system was designed to inspect the product based on color and water level classification using Visual Studio 2010 software. There are several image processing technique are used which are thresholding, morphological operation and segmentation. The system used Otsu’ method for threshold the image and quadratic distance classifier to classify the color of the soft drink based on color classification. The water level will read the value of a white pixel that shows the height of the bottle. It is used to measure the range of water level. This system is also do in real-time testing that using conveyor, sensor and webcam. The experiment result shows that the system is 100% accurate for both offline and online system.

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